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  • 标题:A Characterization of Constant-Sample Testable Properties
  • 本地全文:下载
  • 作者:Eric Blais ; Yuichi Yoshida
  • 期刊名称:Electronic Colloquium on Computational Complexity
  • 印刷版ISSN:1433-8092
  • 出版年度:2016
  • 卷号:2016
  • 出版社:Universität Trier, Lehrstuhl für Theoretische Computer-Forschung
  • 摘要:

    We characterize the set of properties of Boolean-valued functions on a finite domain that are testable with a constant number of samples. Specifically, we show that a property is testable with a constant number of samples if and only if it is (essentially) a k -part symmetric property for some constant k , where a property is k -part symmetric if there is a partition S 1 S k of such that whether f : 0 1 satisfies the property is determined solely by the densities of f on S 1 S k .

    We use this characterization to obtain a number of corollaries, namely: (i) A graph property is testable with a constant number of samples if and only if whether a graph G satisfies is (essentially) determined by the edge density of G . (ii) An affine-invariant property of functions f : F n p 0 1 is testable with a constant number of samples if and only if whether f satisfies is (essentially) determined by the density of f . (iii) For every constant d 1 , monotonicity of functions f : [ n ] d 0 1 on the d -dimensional hypergrid is testable with a constant number of samples.

  • 关键词:Property Testing ; sample-based
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